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- Tasks: Integrate AI acceleration hardware and develop a high-performance Rust runtime.
- Company: Cutting-edge AI company at the forefront of innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a fast-paced team shaping the future of AI technology.
- Qualifications: 5+ years in ML software, strong Python and Rust skills, degree in Computer Science.
- Other info: Exciting projects with leading technologies like PyTorch and vLLM.
The predicted salary is between 48000 - 72000 £ per year.
A cutting-edge AI company is seeking a Senior ML Runtime Engineer in London or Bristol. In this role, you will integrate innovative AI acceleration hardware with leading projects like PyTorch and vLLM, and develop a high-performance Rust runtime.
The ideal candidate will have:
- 5+ years of experience in ML software
- Excellent Python and Rust skills
- A degree in Computer Science or related fields
Join a fast-paced environment driving the future of AI.
Senior ML Runtime Engineer: Rust Inference & AI Accelerators in London employer: Fractile
Contact Detail:
Fractile Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Runtime Engineer: Rust Inference & AI Accelerators in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, especially those working with Rust and PyTorch. Attend meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in ML software, particularly any work with Rust or AI accelerators. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and Rust knowledge. Practice coding challenges and be ready to discuss your past projects in detail, especially how they relate to AI acceleration.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with ML software and your passion for driving the future of AI.
We think you need these skills to ace Senior ML Runtime Engineer: Rust Inference & AI Accelerators in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and Rust in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your projects or any relevant work you've done!
Tailor Your CV: Customise your CV to reflect the job description. We’re looking for someone with a strong background in ML software, so emphasise your 5+ years of experience and any specific projects that relate to AI acceleration hardware.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for AI and how you can contribute to our innovative projects. Keep it engaging and personal!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Fractile
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Rust skills before the interview. Be ready to discuss your past projects in detail, especially those involving ML software and AI acceleration hardware. This will show that you’re not just familiar with the tech but have hands-on experience.
✨Understand the Company’s Vision
Research the cutting-edge AI company and its projects like PyTorch and vLLM. Understanding their goals and how your role as a Senior ML Runtime Engineer fits into their vision will help you answer questions more effectively and demonstrate your enthusiasm for the position.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of ML runtimes and AI accelerators. Practice coding problems in Rust and Python, and be prepared to explain your thought process. This will showcase your problem-solving skills and technical expertise.
✨Showcase Your Team Spirit
Since this role is in a fast-paced environment, highlight your ability to work collaboratively. Share examples of how you’ve successfully worked in teams, tackled challenges, and contributed to projects. This will illustrate that you can thrive in a dynamic setting.
